Table 4 Diagnostic efficacy of different methods in training set and test set.

From: A non-invasive predictive model based on multimodality ultrasonography images to differentiate malignant from benign focal liver lesions

Set

Methods

AUC (95% CI)

P value

Cut-off

Sensitivity

Specificity

LR+

LR-

Training set

CEUS LI_RADS

0.754 (0.685–0.815)

< 0.0001

0.272

64.37%

86.46%

4.75

0.41

STE

0.909 (0.857–0.946)

< 0.0001

0.414

81.61%

88.54%

7.12

0.21

Nomogram

0.988(0.963–0.999)

< 0.0001

0.548

95.40%

95.83%

22.9

0.048

Test set

CEUS LI_RADS

0.824 (0.722–0.901)

< 0.0001

0.236

64.86%

100%

0.35

STE

0.923 (0.840–0.971)

< 0.0001

0.260

86.49%

90.48

9.08

0.15

Nomogram

0.978 (0.917–0.998)

< 0.0001

0.299

94.59

95.24

19.86

0.057